scholarly journals Global Plant Extinction Risk Assessment Informs Novel Biodiversity Hotspots

2021 ◽  
Author(s):  
Thomas Haevermans ◽  
Jessica Tressou ◽  
Joon Kwon ◽  
Roseli Pellens ◽  
Anne Dubéarnès ◽  
...  
Keyword(s):  
United Nations ◽  
Biological Diversity ◽  
Extinction Risk ◽  
Conservation Status ◽  
Scale Up ◽  
Convention On Biological Diversity ◽  
Biodiversity Hotspots ◽  
Threat Status ◽  
United Nations Convention ◽  
The United Nations

Curbing biodiversity loss and its impact on ecosystem services, resilience and Nature's Contributions to People is one of the main challenges of our generation (IPBES, 2019b, 2019a; Secretariat of the United Nations Convention on Biological Diversity, 2020). A global baseline assessment of the threat status of all of biodiversity is crucial to monitor the progress of conservation policies worldwide (Mace & al., 2000; Secretariat of the United Nations Convention on Biological Diversity, 2021) and target priority areas for conservation (Walker & al., 2021). However, the magnitude of the task seems insurmountable, as even listing the organisms already known to science is a challenge (Nic Lughadha & al., 2016; Borsch & al., 2020; Govaerts & al., 2021). A new approach is needed to overcome this stumbling block and scale-up the assessment of extinction risk. Here we show that analyses of natural history mega-datasets using artificial intelligence allows us to predict a baseline conservation status for all vascular plants and identify target areas for conservation corresponding to hotspots optimally capturing different aspects of biodiversity. We illustrate the strong potential of AI-based methods to reliably predict extinction risk on a global scale. Our approach not only retrieved recognized biodiversity hotspots but identified new areas that may guide future global conservation action (Myers & al., 2000; Brooks & al., 2006). To further work in this area and guide the targets of the post-2020 biodiversity framework (Díaz & al., 2020a; Secretariat of the United Nations Convention on Biological Diversity, 2020; Mair & al., 2021), it will be necessary to accelerate the acquisition of fundamental data and allow inclusion of social and economic factors (Possingham & Wilson, 2005).

scholarly journals Aligning ecological compensation policies with the Post-2020 Global Biodiversity Framework to achieve real net gain in biodiversity

2021 ◽  
Author(s):  
Jeremy Simmonds ◽  
Amrei von Hase ◽  
Fabien Quétier ◽  
Susie Brownlie ◽  
Martine Maron ◽  
...  
Keyword(s):  
United Nations ◽  
Biological Diversity ◽  
Convention On Biological Diversity ◽  
Ecological Compensation ◽  
Corporate Policies ◽  
United Nations Convention ◽  
Global Biodiversity ◽  
The United Nations

Increasingly, government and corporate policies on ecological compensation (e.g. offsetting) are requiring ‘net gain’ outcomes for biodiversity. This presents an opportunity to align development with the United Nations Convention on Biological Diversity Post-2020 Global Biodiversity Framework’s (GBF) ambition for overall biodiversity recovery. In this perspective, we describe three conditions that should be accounted for in establishing or revising net gain policies to align their outcomes with the Post-2020 GBF: namely, a requirement for residual losses from development to be compensated for by (1) absolute gains, which are (2) scaled to the achievement of explicit biodiversity targets, where (3) gains are ecologically feasible. We show that few current policies meet these conditions, and thus we demonstrate a major disconnect between existing biodiversity net gain approaches and the achievement of the Post-2020 GBF milestones and goals. We conclude by describing how this gap can be bridged through a novel ecological compensation framework.

scholarly journals Can Morphology Predict the Conservation Status of Iguanian Lizards?

2020 ◽  
Vol 60 (2) ◽  
pp. 535-548 ◽  
Author(s):  
Donald B Miles
Keyword(s):  
Morphological Traits ◽  
Biological Diversity ◽  
Linear Models ◽  
Extinction Risk ◽  
Conservation Status ◽  
Rapid Assessment ◽  
Ann Model ◽  
Functional Link ◽  
Threat Status ◽  
Risk Of Extinction

Synopsis The integrity of regional and local biological diversity is under siege as a result of multiple anthropogenic threats. The conversion of habitats, such as rain forests, into agricultural ecosystems, reduces the area available to support species populations. Rising temperatures and altered rainfall patterns lead to additional challenges for species. The ability of conservation biologists to ascertain the threats to a species requires data on changes in distribution, abundance, life history, and ecology. The International Union for the Conservation of Nature (IUCN) uses these data to appraise the extinction risk for a species. However, many species remain data deficient (DD) or unassessed. Here, I use 14 morphological traits related to locomotor function, habitat, and feeding to predict the threat status of over 400 species of lizards in the infraorder Iguania. Morphological traits are an ideal proxy for making inferences about a species’ risk of extinction. Patterns of morphological covariation have a known association with habitat use, foraging behavior, and physiological performance across multiple taxa. Results from phylogenetic general linear models revealed that limb lengths as well as head characters predicted extinction risk. In addition, I used an artificial neural network (ANN) technique to generate a classification function based on the morphological traits of species with an assigned IUCN threat status. The network approach identified eight morphological traits as predictors of extinction risk, which included head and limb characters. The best supported model had a classification accuracy of 87.4%. Moreover, the ANN model predicted >18% of DD/not assessed species were at risk of extinction. The predicted assessments were supported by other sources of threat status, for example, Convention on International Trade in Endangered Species appendices. Because of the functional link between morphology, performance, and ecology, an ecomorphological approach may be a useful tool for rapid assessment of DD or poorly known species.

scholarly journals Global taxonomy initiative: Building capacity in taxonomy to underpin the conservation of biological diversity

2006 ◽  
Vol 27 (1) ◽  
pp. 16
Author(s):  
Junko Shimura ◽  
Kaduo Hiraki
Keyword(s):  
Decision Making ◽  
United Nations ◽  
Genetic Resources ◽  
Biological Diversity ◽  
Sustainable Use ◽  
Convention On Biological Diversity ◽  
Building Capacity ◽  
The World ◽  
Equitable Sharing ◽  
United Nations Convention

The Global Taxonomy Initiative (GTI) is across cutting issue of the United Nations Convention on Biological Diversity (CBD) to address the lack of taxonomic information and expertise available in many parts of the world, and thereby to improve decision making in conservation, sustainable use and equitable sharing of the benefits derived from genetic resources.

scholarly journals Threat status of three important medicinal Himalayan plant species and conservation implications

2022 ◽  
Vol 7 (1) ◽  
Author(s):  
Irfan I. Sofi ◽  
◽  
Shivali Verma ◽  
Aijaz H. Ganie ◽  
Namrata Sharma ◽  
...  
Keyword(s):  
Economic Development ◽  
Plant Species ◽  
Biological Diversity ◽  
Conservation Status ◽  
Natural Populations ◽  
Road Construction ◽  
Convention On Biological Diversity ◽  
Conservation Strategies ◽  
Cold Desert ◽  
Threat Status

A lack of precise information about the threat status of species hampers their effective conservation. The Target 2 of the Convention on Biological Diversity calls for evaluation of threat status at global, national and regional levels to identify plant species of urgent conservation concern. Here we have empirically assessed the threat status of three valuable medicinal plant species (Trillium govanianum, Rheum tibeticum, and Arnebia euchroma) through extensive field studies and herbarium consultations in Kashmir Himalaya and cold desert region of Trans-Himalayan Ladakh. In accordance with the IUCN Red List categories and criteria, each of the three target species turned out to be Near Threatened (NT). According to the NatureServe Conservation Status Assessment, each of these species faces the overall threat impact of «High» to «Very high». We found that the anthropogenic threats emanating from unplanned economic development, road construction and other infrastructure related projects contribute to a fast decline in natural populations of these three species. Keeping in view the value of these species, on the one hand, and growing threats to their survival in the wild, on the other one, we call for urgent conservation strategies in the vulnerable Himalayan habitats for regional socio-economic development.

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